What is codex-complexity-optimizer?

Codex Complexity Optimizer is a small tool that plugs into OpenAI's Codex as a skill, giving it a specific job: scan a codebase, find spots where the code is more complex or slower than it needs to be, and write up a report about what could be improved. It is installed as an npm package, and once installed it places itself into a Codex skills folder rather than running as a standalone program. Once installed, a user invokes it from inside Codex with a short command asking it to analyze the current codebase. By default, the skill only produces a report and does not touch any files. That report is meant to include the specific file and line where a slow or overly complex piece of code lives, how complex it currently is, what change is recommended, how much simpler or faster the code would be afterward, how risky the change is, and what tests or benchmarks should be run to confirm nothing broke. If a user wants the tool to go further, they can explicitly ask it to apply the lowest risk optimization from its own report and run the relevant tests, turning it from a read only analysis tool into one that can make small, tested changes on request. The README for this project is short and does not describe the underlying complexity analysis in detail, does not list a license, and does not mention which programming languages or codebases the skill has been tested against, so anyone evaluating it should treat those details as unknown until they read the source or open an issue with the maintainer.